Meta Tech Podcast

Meta
Meta Tech Podcast

Brought to you by Meta. In addition to remaining active in the open source community and conference circuit, this podcast offers another channel that allows us to highlight the technical work of our engineers who will discuss everything from low-level frameworks to end-user features. Throughout the podcast, Meta engineer Pascal Hartig (@passy) will interview developers in the company.

  1. Measuring Developer Productivity with Diff Authoring Time

    9月30日

    Measuring Developer Productivity with Diff Authoring Time

    At Meta, engineers are our biggest asset which is why we have an entire org tasked with making them as productive as possible. But how do you know if your projects for improving developer experience are actually successful? For any other product, you would run an A/B test but that requires metrics and how do you measure developer productivity? Sarita and Moritz have been working on exactly that with Diff Authoring Time which measures how long it took to submit a change to our codebase. Host Pascal talks to them about the way this is implemented, the challenges and abilities this unlocks. Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don’t forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/. You can follow our guest Moritz on X (https://x.com/Inventitech) or check out his website on inventitech.com. Links Meta Connect 2024: https://www.meta.com/en-gb/connect/ Timestamps Episode intro 0:05 Sarita Intro 2:33 Moritz Intro 3:44 DevInfra as an Engineer 4:25 DevInfra as a Data Scientist 5:12 Why DevEx Metrics? 6:04 Average Diff Authoring Time at Meta 9:55 Events for calculating DAT 10:55 Edge cases 13:15 DAT for Performance Evaluation? 20:29 Analyses on DAT data 22:29 Onboarding to DAT 23:23 Stat-sig data 25:06 Validating the metric 26:34 Versioning metrics 28:09 Detecting and handling biases 29:19 Diff coverage 30:30 Do we need DevX metrics in an AI software engineering world? 31:23 Measuring the impact of AI tools 32:23 What's next for DAT? 33:40 Outtakes 36:22

    37 分鐘
  2. Inside Bento - Serverless Jupyter Notebooks at Meta

    8月30日

    Inside Bento - Serverless Jupyter Notebooks at Meta

    Bento is Meta’s internal distribution of Jupyter Notebooks, an open-source web-based computing platform. Host Pascal is joined by Steve who worked with his team on building many features on top of Jupyter, including scheduled notebooks, sharing with colleagues and running notebooks without a remote server component by leveraging Webassembly in the browser. Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don’t forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/. Links Scheduling Jupyter Notebooks at Meta: https://engineering.fb.com/2023/08/29/security/scheduling-jupyter-notebooks-meta/ Serverless Jupyter Notebooks at Meta: https://engineering.fb.com/2024/06/10/data-infrastructure/serverless-jupyter-notebooks-bento-meta/ Jupyter Notebooks: https://jupyter.org/  Timestamps Intro 0:06 Who is Steve? 1:49 What are Jupyter and Bento? 2:48 Who is Bento for? 3:40 Internal-only Bento features 4:42 Scheduled notebooks 11:39 Integrating with existing batch jobs 17:10 The case for serverless notebooks 20:59 Enter wasm 24:29 Upgrade paths from serverless to server 26:29 Bringing more Python libraries to the browser 30:21 Adding magick(s) 31:52 DataFrame magic and AI 36:41 What's next? 38:29 Outro 43:17

    44 分鐘
  3. Getting Ready for Post-Quantum Cryptography

    7月29日

    Getting Ready for Post-Quantum Cryptography

    We don’t know when but at some point in the future we will face what researchers call a "Quantum Apocalypse". This is when quantum computers will be able to break many of our existing encryption algorithms. To keep Meta’a users safe even from attacks that don’t even exist today, Sheran and Rafael are working on post-quantum-ready encryption. Tune in to learn about the various challenges and trade offs that this work brings with it.   Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don’t forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/. Links Post-quantum readiness for TLS at Meta: https://engineering.fb.com/2024/05/22/security/post-quantum-readiness-tls-pqr-meta/  Fizz TLS implementation: https://github.com/facebookincubator/fizz  liboqs: https://github.com/open-quantum-safe/liboqs  NIST Post-Quantum Cryptography Submissions: https://csrc.nist.gov/Projects/post-quantum-cryptography/post-quantum-cryptography-standardization/round-3-submissions    Timestamps Intro 0:06 Meta Open Source 101 1:10 Intros 1:49 Sheran Intro 2:31 Rafael Intro 3:37 Then Quantum Apocalypse 5:24 Why symmetric and asymmetric algos behave differently 8:10 Why invest in tomorrow's problems? 9:21 First deployment target 14:17 Choosing an algorithm 18:06 Choosing the right parameters 19:51 Performance costs and wins 21:28 Stack 23:33 Challenges 25:26 What's next for PQC? 30:38 Working with NIST 32:59 Outro 34:30 Outtakes 35:43

    36 分鐘
  4. Caddy - Building the next generation of CAD software for Mixed Reality

    7月4日

    Caddy - Building the next generation of CAD software for Mixed Reality

    After sitting in one too many Zoom meetings looking at flat images of 3D models, mechanical engineers Ed, Jason, Fan, and Raghavan decided that they could do better, taught themselves how to code and started to build Caddy - a CAD app for mixed reality. Tune in to episode 64 to hear their story. Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don’t forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/. Links Caddy video: https://heycaddy.net/ Caddy on the Quest Store: https://www.meta.com/en-gb/experiences/24212682218375897/  @Scale conference on YouTube: https://www.youtube.com/channel/UCd9I8ZkgoR1d7GeSj_wi_LQ  MLow @Scale talk: https://www.youtube.com/watch?v=3ypsZUNRjI4 MLow blog post: https://engineering.fb.com/2024/06/13/web/mlow-metas-low-bitrate-audio-codec/  Faster Incident Response with GenAI @Scale talk: https://www.youtube.com/watch?v=rpe7eAR90Ko Llama 3: https://llama.meta.com/llama3/ Meta Unity SDKs: https://developer.oculus.com/documentation/unity/ Prisms VR: https://www.prismsvr.com/  Timestamps Intro 0:06 Ed Intro 2:12 Raghavan Intro 3:15 Fan Intro 3:44 Jason Intro 4:16 What is Caddy? 4:49 Why build Caddy? 6:52 Discovery of hand-based interactions 11:46 Supported import formats 14:09 Learning to code 18:09 Time to Caddy MVP 27:48 Off-the-shelf components 29:04 Outgrowing the initial vision 32:48 AI in Caddy 43:25 Challenges building Caddy 52:38 What's next? 55:40 How to get in touch? 56:56 Excitement in MR 57:38 Outro 1:03:35

    1 小時 4 分鐘
  5. Building Threads for Web

    4月26日

    Building Threads for Web

    The basic version of Threads for web was built in just under three months by two engineers, mirroring the nimble engineering practices we talked about on this podcast before when it came to launching Threads for Android and iOS. In this episode, Pascal is joined by Ally and Kevin, two engineers on the Threads Web team. They talk about how shared infrastructure with other Meta web properties allows them to move fast and how they manage to balance the need to ship new features with the desire to craft delightful experiences for their users.  Got feedback? Send it to us on Threads (https://threads.net/@metatechpod), Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don’t forget to follow our host @passy (https://twitter.com/passy, https://mastodon.social/@passy, and https://threads.net/@passy_). Fancy working with us? Check out https://www.metacareers.com/. Links Threads: https://threads.net StyleX: https://stylexjs.com/  FlowJS: https://flow.org/  Introducing Meta Llama 3: https://ai.meta.com/blog/meta-llama-3/ Building custom silicon for the future of AI: https://www.metacareers.com/life/building-custom-silicon-for-the-future-of-ai Building Meta’s GenAI Infrastructure: https://engineering.fb.com/2024/03/12/data-center-engineering/building-metas-genai-infrastructure/  Timestamps Intro 0:06 Intro Ally and Kevin 1:44 Why focus on Web? 2:48 Kevin's contributions 4:42 Focus on craft 6:18 Editing Threads 7:34 Ally's contributions 10:40 Prioritising delight and shipping features 12:02 Launching Threads Web 13:30 Shared Infra 16:13 Tech Stack 19:15 The DevX of Meta www 23:51 Challenges 30:57 Favourite bit of polish 34:32 Outtakes 39:18

    40 分鐘
4.4
(滿分 5 顆星)
40 則評分

簡介

Brought to you by Meta. In addition to remaining active in the open source community and conference circuit, this podcast offers another channel that allows us to highlight the technical work of our engineers who will discuss everything from low-level frameworks to end-user features. Throughout the podcast, Meta engineer Pascal Hartig (@passy) will interview developers in the company.

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